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Senior Java Backend Engineer - Generative AI and Big Data

Lancesoft Europe — Poland · Posted ~20 hours ago

Senior Contract Hybrid Visa History ✓

Skills

Java Spring Boot Microservices Backend application development Distributed systems Large-scale data processing Technical architecture Independent engineering decision-making Production software development Generative AI LLMs Agentic AI Big Data Distributed Systems

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Summary ✨ AI‑Generated

A technology organization is seeking a Senior Java Backend Engineer to build and maintain production-grade services using Java, Spring Boot, and microservices. You will contribute to distributed data platforms and scalable applications while integrating large language models and agentic AI capabilities. The role combines hands-on engineering with architectural ownership and independent technical decisions under a 12-month employment contract with a hybrid work arrangement.

Highlights

Work on highly scalable backend systems and production-grade AI applications in a collaborative engineering environment. The role offers technical ownership, independent decision-making, exposure to large-scale data platforms, and opportunities to contribute to emerging generative and agentic AI solutions.

Description

Senior Java Backend Engineer – GenAI / Big Data Location: Warsaw, PolandWork Model: Hybrid – 3 days onsite per weekContract: 12 months UoP ContractWe are looking for a Senior Java Backend Engineer to join a Warsaw-based engineering team working on highly scalable, data-intensive applications with a growing focus on Generative AI and Agentic AI solutions. The role is primarily focused on hands-on Java backend development, with Spring Boot and Microservices at its core. Alongside this, you will have the opportunity to work with large-scale data technologies and contribute to production-grade GenAI/LLM and agentic applications. Key Responsibilities Design, develop and maintain production-grade backend applications using Java, Spring Boot and Microservices. Take ownership of technical solutions and make independent engineering decisions. Work with large-scale data processing and distributed data platforms. Develop and integrate GenAI/LLM-based solutions, including agentic applications and workflows. Collaborate with users and stakeholders to understand requirements, clarify problems and propose appropriate technical solutions. Contribute to the full development lifecycle, from solution design through implementation and production delivery. Evaluate existing technical approaches and proactively suggest improvements or alternatives. Work closely with other engineers across backend, data and AI areas to deliver end-to-end solutions. Essential Skills & Experience Strong hands-on experience with Java development. Strong experience with Spring Boot and Microservices. Proven experience writing and delivering production-quality code. Experience working independently and taking ownership of technical decisions. Experience with large-scale data processing, distributed systems or data engineering. Hands-on experience with one or more of: Apache Spark Databricks Snowflake Experience building production GenAI / LLM-based applications or Agentic AI solutions. Experience with an LLM/AI framework such as LangChain, LangGraph or an equivalent framework. Strong communication skills and the ability to work directly with users/stakeholders. Nice to Have Experience with RAG, AI Agents or agentic workflows. Python experience, particularly in the context of GenAI/LLM solutions. AWS or other cloud experience. Kubernetes / cloud-native application experience. Experience working with high-volume, data-intensive applications.